UPDATING MODELS OF CLASSIFIERS OF UNDERSTANDING LANGUAGE BASED ON CROWDSOURCING

摘要

A method for updating language understanding classifier models includes receiving via one or more microphones of a computing device, a digital voice input from a user of the computing device. Natural language processing using the digital voice input is used to determine a user voice request. Upon determining the user voice request does not match at least one of a plurality of pre-defined voice commands in a schema definition of a digital personal assistant, a GUI of an end-user labeling tool is used to receive a user selection of at least one of the following: at least one intent of a plurality of available intents and/or at least one slot for the at least one intent. A labeled data set is generated by pairing the user voice request and the user selection, and is used to update a language understanding classifier.